{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**实验目标：**\n",
    "通过本实验，你将学习并实践信号处理中的三个重要任务：端点检测、基音周期检测以及 MFCC 特征提取。这些任务是语音信号处理和音频处理中的基础，对于语音识别和语音分析等应用至关重要。其中，端点检测、基音周期检测实验可以二选一，MFCC特征提取实验必须完成。\n",
    "\n",
    "**实验方法：**\n",
    "\n",
    "**1. 端点检测：**\n",
    "  - 阅读端点检测的相关文献或资料，了解双门限法的原理和实现方式。\n",
    "  - 使用 Python 编程语言，实现端点检测算法。\n",
    "  - 在代码中设定合适的阈值来检测端点，你可以尝试不同的阈值来获取更好的效果。\n",
    "  - 编写代码以可视化端点检测结果，将检测到的端点在原始信号上标出。\n",
    "\n",
    "**2. 基音周期检测：**\n",
    "  - 学习基音周期检测的原理，理解基音周期在语音信号中的重要性。\n",
    "  - 使用 librosa 库或其他音频处理库加载音频数据。\n",
    "  - 探索基音周期检测的方法，并尝试实现其中一种方法。你可以使用自相关函数或其他方法来检测基音周期。\n",
    "  - 编写代码以可视化基音周期检测的结果，将检测到的基音周期在音频信号上标出。\n",
    "\n",
    "**3. MFCC 特征提取：**\n",
    "  - 了解 MFCC 特征在语音信号处理中的重要性以及其在语音识别中的应用。\n",
    "  - 使用 librosa 库或其他音频处理库加载音频数据。\n",
    "  - 实现 MFCC 特征提取算法。\n",
    "  - 编写代码以可视化提取的 MFCC 特征，观察不同时间段内的特征变化。\n",
    "  \n",
    "**实验要求：**\n",
    "\n",
    "录制一段音频，并开展上述实验，并可视化实验结果，并保存图片到本地。其中实验1和2可任选一个，实验3必做。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simpleNote: you may need to restart the kernel to use updated packages.\n",
      "\n",
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     ]
    }
   ],
   "source": [
    "# #安装依赖库，可以跳过已安装的库\n",
    "%pip install -r requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
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      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
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      "Note: you may need to restart the kernel to use updated packages.\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simpleNote: you may need to restart the kernel to use updated packages.\n",
      "\n",
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      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simpleNote: you may need to restart the kernel to use updated packages.\n",
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      "Note: you may need to restart the kernel to use updated packages.\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
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      "Note: you may need to restart the kernel to use updated packages.\n",
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      "Requirement already satisfied: pycparser in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from cffi>=1.0->soundfile>=0.12.1->librosa) (2.21)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from requests>=2.19.0->pooch>=1.0->librosa) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from requests>=2.19.0->pooch>=1.0->librosa) (3.6)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from requests>=2.19.0->pooch>=1.0->librosa) (2.2.1)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from requests>=2.19.0->pooch>=1.0->librosa) (2024.2.2)\n",
      "Note: you may need to restart the kernel to use updated packages.\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simpleNote: you may need to restart the kernel to use updated packages.\n",
      "\n",
      "Requirement already satisfied: IPython in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (8.12.0)\n",
      "Requirement already satisfied: backcall in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (0.2.0)\n",
      "Requirement already satisfied: decorator in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (5.1.1)\n",
      "Requirement already satisfied: jedi>=0.16 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (0.19.1)\n",
      "Requirement already satisfied: matplotlib-inline in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (0.1.6)\n",
      "Requirement already satisfied: pickleshare in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (0.7.5)\n",
      "Requirement already satisfied: prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (3.0.42)\n",
      "Requirement already satisfied: pygments>=2.4.0 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (2.17.2)\n",
      "Requirement already satisfied: stack-data in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (0.6.2)\n",
      "Requirement already satisfied: traitlets>=5 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (5.14.2)\n",
      "Requirement already satisfied: typing-extensions in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (4.10.0)\n",
      "Requirement already satisfied: colorama in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from IPython) (0.4.6)\n",
      "Requirement already satisfied: parso<0.9.0,>=0.8.3 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from jedi>=0.16->IPython) (0.8.3)\n",
      "Requirement already satisfied: wcwidth in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30->IPython) (0.2.13)\n",
      "Requirement already satisfied: executing>=1.2.0 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from stack-data->IPython) (2.0.1)\n",
      "Requirement already satisfied: asttokens>=2.1.0 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from stack-data->IPython) (2.4.1)\n",
      "Requirement already satisfied: pure-eval in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from stack-data->IPython) (0.2.2)\n",
      "Requirement already satisfied: six>=1.12.0 in c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages (from asttokens>=2.1.0->stack-data->IPython) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "# 如果上面安装失败，可以使用下面的命令分别安装\n",
    "%pip install numpy\n",
    "%pip install matplotlib\n",
    "%pip install scipy\n",
    "%pip install pandas\n",
    "%pip install pyaudio\n",
    "%pip install wave\n",
    "%pip install librosa\n",
    "%pip install IPython"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "^C\n",
      "Note: you may need to restart the kernel to use updated packages.\n",
      "Name: numpy\n",
      "Version: 1.26.4\n",
      "Summary: Fundamental package for array computing in Python\n",
      "Home-page: https://numpy.org\n",
      "Author: Travis E. Oliphant et al.\n",
      "Author-email: \n",
      "License: Copyright (c) 2005-2023, NumPy Developers.\n",
      "        All rights reserved.\n",
      "        \n",
      "        Redistribution and use in source and binary forms, with or without\n",
      "        modification, are permitted provided that the following conditions are\n",
      "        met:\n",
      "        \n",
      "            * Redistributions of source code must retain the above copyright\n",
      "               notice, this list of conditions and the following disclaimer.\n",
      "        \n",
      "            * Redistributions in binary form must reproduce the above\n",
      "               copyright notice, this list of conditions and the following\n",
      "               disclaimer in the documentation and/or other materials provided\n",
      "               with the distribution.\n",
      "        \n",
      "            * Neither the name of the NumPy Developers nor the names of any\n",
      "               contributors may be used to endorse or promote products derived\n",
      "               from this software without specific prior written permission.\n",
      "        \n",
      "        THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS\n",
      "        \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT\n",
      "        LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR\n",
      "        A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\n",
      "        OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\n",
      "        SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT\n",
      "        LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,\n",
      "        DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY\n",
      "        THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n",
      "        (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\n",
      "        OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
      "        \n",
      "        ----\n",
      "        \n",
      "        The NumPy repository and source distributions bundle several libraries that are\n",
      "        compatibly licensed.  We list these here.\n",
      "        \n",
      "        Name: lapack-lite\n",
      "        Files: numpy/linalg/lapack_lite/*\n",
      "        License: BSD-3-Clause\n",
      "          For details, see numpy/linalg/lapack_lite/LICENSE.txt\n",
      "        \n",
      "        Name: tempita\n",
      "        Files: tools/npy_tempita/*\n",
      "        License: MIT\n",
      "          For details, see tools/npy_tempita/license.txt\n",
      "        \n",
      "        Name: dragon4\n",
      "        Files: numpy/core/src/multiarray/dragon4.c\n",
      "        License: MIT\n",
      "          For license text, see numpy/core/src/multiarray/dragon4.c\n",
      "        \n",
      "        Name: libdivide\n",
      "        Files: numpy/core/include/numpy/libdivide/*\n",
      "        License: Zlib\n",
      "          For license text, see numpy/core/include/numpy/libdivide/LICENSE.txt\n",
      "        \n",
      "        \n",
      "        Note that the following files are vendored in the repository and sdist but not\n",
      "        installed in built numpy packages:\n",
      "        \n",
      "        Name: Meson\n",
      "        Files: vendored-meson/meson/*\n",
      "        License: Apache 2.0\n",
      "          For license text, see vendored-meson/meson/COPYING\n",
      "        \n",
      "        Name: spin\n",
      "        Files: .spin/cmds.py\n",
      "        License: BSD-3\n",
      "          For license text, see .spin/LICENSE\n",
      "        \n",
      "        ----\n",
      "        \n",
      "        This binary distribution of NumPy also bundles the following software:\n",
      "        \n",
      "        \n",
      "        Name: OpenBLAS\n",
      "        Files: numpy.libs\\libopenblas*.dll\n",
      "        Description: bundled as a dynamically linked library\n",
      "        Availability: https://github.com/OpenMathLib/OpenBLAS/\n",
      "        License: BSD-3-Clause\n",
      "          Copyright (c) 2011-2014, The OpenBLAS Project\n",
      "          All rights reserved.\n",
      "        \n",
      "          Redistribution and use in source and binary forms, with or without\n",
      "          modification, are permitted provided that the following conditions are\n",
      "          met:\n",
      "        \n",
      "             1. Redistributions of source code must retain the above copyright\n",
      "                notice, this list of conditions and the following disclaimer.\n",
      "        \n",
      "             2. Redistributions in binary form must reproduce the above copyright\n",
      "                notice, this list of conditions and the following disclaimer in\n",
      "                the documentation and/or other materials provided with the\n",
      "                distribution.\n",
      "             3. Neither the name of the OpenBLAS project nor the names of\n",
      "                its contributors may be used to endorse or promote products\n",
      "                derived from this software without specific prior written\n",
      "                permission.\n",
      "        \n",
      "          THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
      "          AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
      "          IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
      "          ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
      "          LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\n",
      "          DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\n",
      "          SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\n",
      "          CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\n",
      "          OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE\n",
      "          USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
      "        \n",
      "        \n",
      "        Name: LAPACK\n",
      "        Files: numpy.libs\\libopenblas*.dll\n",
      "        Description: bundled in OpenBLAS\n",
      "        Availability: https://github.com/OpenMathLib/OpenBLAS/\n",
      "        License: BSD-3-Clause-Attribution\n",
      "          Copyright (c) 1992-2013 The University of Tennessee and The University\n",
      "                                  of Tennessee Research Foundation.  All rights\n",
      "                                  reserved.\n",
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      "            notice, this list of conditions and the following disclaimer listed\n",
      "            in this license in the documentation and/or other materials\n",
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      "            contributors may be used to endorse or promote products derived from\n",
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      "          disclaim any liability to any recipient for claims brought against\n",
      "          recipient by any third party for infringement of that parties\n",
      "          intellectual property rights.\n",
      "        \n",
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      "          A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\n",
      "          OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\n",
      "          SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT\n",
      "          LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,\n",
      "          DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY\n",
      "          THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n",
      "          (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\n",
      "          OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
      "        \n",
      "        \n",
      "        Name: GCC runtime library\n",
      "        Files: numpy.libs\\libopenblas*.dll\n",
      "        Description: statically linked to files compiled with gcc\n",
      "        Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libgfortran\n",
      "        License: GPL-3.0-with-GCC-exception\n",
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      "          Libgfortran is free software; you can redistribute it and/or modify\n",
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      "          any later version.\n",
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      "          see the files COPYING3 and COPYING.RUNTIME respectively.  If not, see\n",
      "          <http://www.gnu.org/licenses/>.\n",
      "        \n",
      "        ----\n",
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      "        Full text of license texts referred to above follows (that they are\n",
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      "        present binary release):\n",
      "        \n",
      "        ----\n",
      "        \n",
      "        GCC RUNTIME LIBRARY EXCEPTION\n",
      "        \n",
      "        Version 3.1, 31 March 2009\n",
      "        \n",
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      "        0. Definitions.\n",
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      "        presumption that third-party software is unaffected by the copyleft\n",
      "        requirements of the license of GCC.\n",
      "        \n",
      "        ----\n",
      "        \n",
      "                            GNU GENERAL PUBLIC LICENSE\n",
      "                               Version 3, 29 June 2007\n",
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      "        infringement under applicable copyright law, except executing it on a\n",
      "        computer or modifying a private copy.  Propagation includes copying,\n",
      "        distribution (with or without modification), making available to the\n",
      "        public, and in some countries other activities as well.\n",
      "        \n",
      "          To \"convey\" a work means any kind of propagation that enables other\n",
      "        parties to make or receive copies.  Mere interaction with a user through\n",
      "        a computer network, with no transfer of a copy, is not conveying.\n",
      "        \n",
      "          An interactive user interface displays \"Appropriate Legal Notices\"\n",
      "        to the extent that it includes a convenient and prominently visible\n",
      "        feature that (1) displays an appropriate copyright notice, and (2)\n",
      "        tells the user that there is no warranty for the work (except to the\n",
      "        extent that warranties are provided), that licensees may convey the\n",
      "        work under this License, and how to view a copy of this License.  If\n",
      "        the interface presents a list of user commands or options, such as a\n",
      "        menu, a prominent item in the list meets this criterion.\n",
      "        \n",
      "          1. Source Code.\n",
      "        \n",
      "          The \"source code\" for a work means the preferred form of the work\n",
      "        for making modifications to it.  \"Object code\" means any non-source\n",
      "        form of a work.\n",
      "        \n",
      "          A \"Standard Interface\" means an interface that either is an official\n",
      "        standard defined by a recognized standards body, or, in the case of\n",
      "        interfaces specified for a particular programming language, one that\n",
      "        is widely used among developers working in that language.\n",
      "        \n",
      "          The \"System Libraries\" of an executable work include anything, other\n",
      "        than the work as a whole, that (a) is included in the normal form of\n",
      "        packaging a Major Component, but which is not part of that Major\n",
      "        Component, and (b) serves only to enable use of the work with that\n",
      "        Major Component, or to implement a Standard Interface for which an\n",
      "        implementation is available to the public in source code form.  A\n",
      "        \"Major Component\", in this context, means a major essential component\n",
      "        (kernel, window system, and so on) of the specific operating system\n",
      "        (if any) on which the executable work runs, or a compiler used to\n",
      "        produce the work, or an object code interpreter used to run it.\n",
      "        \n",
      "          The \"Corresponding Source\" for a work in object code form means all\n",
      "        the source code needed to generate, install, and (for an executable\n",
      "        work) run the object code and to modify the work, including scripts to\n",
      "        control those activities.  However, it does not include the work's\n",
      "        System Libraries, or general-purpose tools or generally available free\n",
      "        programs which are used unmodified in performing those activities but\n",
      "        which are not part of the work.  For example, Corresponding Source\n",
      "        includes interface definition files associated with source files for\n",
      "        the work, and the source code for shared libraries and dynamically\n",
      "        linked subprograms that the work is specifically designed to require,\n",
      "        such as by intimate data communication or control flow between those\n",
      "        subprograms and other parts of the work.\n",
      "        \n",
      "          The Corresponding Source need not include anything that users\n",
      "        can regenerate automatically from other parts of the Corresponding\n",
      "        Source.\n",
      "        \n",
      "          The Corresponding Source for a work in source code form is that\n",
      "        same work.\n",
      "        \n",
      "          2. Basic Permissions.\n",
      "        \n",
      "          All rights granted under this License are granted for the term of\n",
      "        copyright on the Program, and are irrevocable provided the stated\n",
      "        conditions are met.  This License explicitly affirms your unlimited\n",
      "        permission to run the unmodified Program.  The output from running a\n",
      "        covered work is covered by this License only if the output, given its\n",
      "        content, constitutes a covered work.  This License acknowledges your\n",
      "        rights of fair use or other equivalent, as provided by copyright law.\n",
      "        \n",
      "          You may make, run and propagate covered works that you do not\n",
      "        convey, without conditions so long as your license otherwise remains\n",
      "        in force.  You may convey covered works to others for the sole purpose\n",
      "        of having them make modifications exclusively for you, or provide you\n",
      "        with facilities for running those works, provided that you comply with\n",
      "        the terms of this License in conveying all material for which you do\n",
      "        not control copyright.  Those thus making or running the covered works\n",
      "        for you must do so exclusively on your behalf, under your direction\n",
      "        and control, on terms that prohibit them from making any copies of\n",
      "        your copyrighted material outside their relationship with you.\n",
      "        \n",
      "          Conveying under any other circumstances is permitted solely under\n",
      "        the conditions stated below.  Sublicensing is not allowed; section 10\n",
      "        makes it unnecessary.\n",
      "        \n",
      "          3. Protecting Users' Legal Rights From Anti-Circumvention Law.\n",
      "        \n",
      "          No covered work shall be deemed part of an effective technological\n",
      "        measure under any applicable law fulfilling obligations under article\n",
      "        11 of the WIPO copyright treaty adopted on 20 December 1996, or\n",
      "        similar laws prohibiting or restricting circumvention of such\n",
      "        measures.\n",
      "        \n",
      "          When you convey a covered work, you waive any legal power to forbid\n",
      "        circumvention of technological measures to the extent such circumvention\n",
      "        is effected by exercising rights under this License with respect to\n",
      "        the covered work, and you disclaim any intention to limit operation or\n",
      "        modification of the work as a means of enforcing, against the work's\n",
      "        users, your or third parties' legal rights to forbid circumvention of\n",
      "        technological measures.\n",
      "        \n",
      "          4. Conveying Verbatim Copies.\n",
      "        \n",
      "          You may convey verbatim copies of the Program's source code as you\n",
      "        receive it, in any medium, provided that you conspicuously and\n",
      "        appropriately publish on each copy an appropriate copyright notice;\n",
      "        keep intact all notices stating that this License and any\n",
      "        non-permissive terms added in accord with section 7 apply to the code;\n",
      "        keep intact all notices of the absence of any warranty; and give all\n",
      "        recipients a copy of this License along with the Program.\n",
      "        \n",
      "          You may charge any price or no price for each copy that you convey,\n",
      "        and you may offer support or warranty protection for a fee.\n",
      "        \n",
      "          5. Conveying Modified Source Versions.\n",
      "        \n",
      "          You may convey a work based on the Program, or the modifications to\n",
      "        produce it from the Program, in the form of source code under the\n",
      "        terms of section 4, provided that you also meet all of these conditions:\n",
      "        \n",
      "            a) The work must carry prominent notices stating that you modified\n",
      "            it, and giving a relevant date.\n",
      "        \n",
      "            b) The work must carry prominent notices stating that it is\n",
      "            released under this License and any conditions added under section\n",
      "            7.  This requirement modifies the requirement in section 4 to\n",
      "            \"keep intact all notices\".\n",
      "        \n",
      "            c) You must license the entire work, as a whole, under this\n",
      "            License to anyone who comes into possession of a copy.  This\n",
      "            License will therefore apply, along with any applicable section 7\n",
      "            additional terms, to the whole of the work, and all its parts,\n",
      "            regardless of how they are packaged.  This License gives no\n",
      "            permission to license the work in any other way, but it does not\n",
      "            invalidate such permission if you have separately received it.\n",
      "        \n",
      "            d) If the work has interactive user interfaces, each must display\n",
      "            Appropriate Legal Notices; however, if the Program has interactive\n",
      "            interfaces that do not display Appropriate Legal Notices, your\n",
      "            work need not make them do so.\n",
      "        \n",
      "          A compilation of a covered work with other separate and independent\n",
      "        works, which are not by their nature extensions of the covered work,\n",
      "        and which are not combined with it such as to form a larger program,\n",
      "        in or on a volume of a storage or distribution medium, is called an\n",
      "        \"aggregate\" if the compilation and its resulting copyright are not\n",
      "        used to limit the access or legal rights of the compilation's users\n",
      "        beyond what the individual works permit.  Inclusion of a covered work\n",
      "        in an aggregate does not cause this License to apply to the other\n",
      "        parts of the aggregate.\n",
      "        \n",
      "          6. Conveying Non-Source Forms.\n",
      "        \n",
      "          You may convey a covered work in object code form under the terms\n",
      "        of sections 4 and 5, provided that you also convey the\n",
      "        machine-readable Corresponding Source under the terms of this License,\n",
      "        in one of these ways:\n",
      "        \n",
      "            a) Convey the object code in, or embodied in, a physical product\n",
      "            (including a physical distribution medium), accompanied by the\n",
      "            Corresponding Source fixed on a durable physical medium\n",
      "            customarily used for software interchange.\n",
      "        \n",
      "            b) Convey the object code in, or embodied in, a physical product\n",
      "            (including a physical distribution medium), accompanied by a\n",
      "            written offer, valid for at least three years and valid for as\n",
      "            long as you offer spare parts or customer support for that product\n",
      "            model, to give anyone who possesses the object code either (1) a\n",
      "            copy of the Corresponding Source for all the software in the\n",
      "            product that is covered by this License, on a durable physical\n",
      "            medium customarily used for software interchange, for a price no\n",
      "            more than your reasonable cost of physically performing this\n",
      "            conveying of source, or (2) access to copy the\n",
      "            Corresponding Source from a network server at no charge.\n",
      "        \n",
      "            c) Convey individual copies of the object code with a copy of the\n",
      "            written offer to provide the Corresponding Source.  This\n",
      "            alternative is allowed only occasionally and noncommercially, and\n",
      "            only if you received the object code with such an offer, in accord\n",
      "            with subsection 6b.\n",
      "        \n",
      "            d) Convey the object code by offering access from a designated\n",
      "            place (gratis or for a charge), and offer equivalent access to the\n",
      "            Corresponding Source in the same way through the same place at no\n",
      "            further charge.  You need not require recipients to copy the\n",
      "            Corresponding Source along with the object code.  If the place to\n",
      "            copy the object code is a network server, the Corresponding Source\n",
      "            may be on a different server (operated by you or a third party)\n",
      "            that supports equivalent copying facilities, provided you maintain\n",
      "            clear directions next to the object code saying where to find the\n",
      "            Corresponding Source.  Regardless of what server hosts the\n",
      "            Corresponding Source, you remain obligated to ensure that it is\n",
      "            available for as long as needed to satisfy these requirements.\n",
      "        \n",
      "            e) Convey the object code using peer-to-peer transmission, provided\n",
      "            you inform other peers where the object code and Corresponding\n",
      "            Source of the work are being offered to the general public at no\n",
      "            charge under subsection 6d.\n",
      "        \n",
      "          A separable portion of the object code, whose source code is excluded\n",
      "        from the Corresponding Source as a System Library, need not be\n",
      "        included in conveying the object code work.\n",
      "        \n",
      "          A \"User Product\" is either (1) a \"consumer product\", which means any\n",
      "        tangible personal property which is normally used for personal, family,\n",
      "        or household purposes, or (2) anything designed or sold for incorporation\n",
      "        into a dwelling.  In determining whether a product is a consumer product,\n",
      "        doubtful cases shall be resolved in favor of coverage.  For a particular\n",
      "        product received by a particular user, \"normally used\" refers to a\n",
      "        typical or common use of that class of product, regardless of the status\n",
      "        of the particular user or of the way in which the particular user\n",
      "        actually uses, or expects or is expected to use, the product.  A product\n",
      "        is a consumer product regardless of whether the product has substantial\n",
      "        commercial, industrial or non-consumer uses, unless such uses represent\n",
      "        the only significant mode of use of the product.\n",
      "        \n",
      "          \"Installation Information\" for a User Product means any methods,\n",
      "        procedures, authorization keys, or other information required to install\n",
      "        and execute modified versions of a covered work in that User Product from\n",
      "        a modified version of its Corresponding Source.  The information must\n",
      "        suffice to ensure that the continued functioning of the modified object\n",
      "        code is in no case prevented or interfered with solely because\n",
      "        modification has been made.\n",
      "        \n",
      "          If you convey an object code work under this section in, or with, or\n",
      "        specifically for use in, a User Product, and the conveying occurs as\n",
      "        part of a transaction in which the right of possession and use of the\n",
      "        User Product is transferred to the recipient in perpetuity or for a\n",
      "        fixed term (regardless of how the transaction is characterized), the\n",
      "        Corresponding Source conveyed under this section must be accompanied\n",
      "        by the Installation Information.  But this requirement does not apply\n",
      "        if neither you nor any third party retains the ability to install\n",
      "        modified object code on the User Product (for example, the work has\n",
      "        been installed in ROM).\n",
      "        \n",
      "          The requirement to provide Installation Information does not include a\n",
      "        requirement to continue to provide support service, warranty, or updates\n",
      "        for a work that has been modified or installed by the recipient, or for\n",
      "        the User Product in which it has been modified or installed.  Access to a\n",
      "        network may be denied when the modification itself materially and\n",
      "        adversely affects the operation of the network or violates the rules and\n",
      "        protocols for communication across the network.\n",
      "        \n",
      "          Corresponding Source conveyed, and Installation Information provided,\n",
      "        in accord with this section must be in a format that is publicly\n",
      "        documented (and with an implementation available to the public in\n",
      "        source code form), and must require no special password or key for\n",
      "        unpacking, reading or copying.\n",
      "        \n",
      "          7. Additional Terms.\n",
      "        \n",
      "          \"Additional permissions\" are terms that supplement the terms of this\n",
      "        License by making exceptions from one or more of its conditions.\n",
      "        Additional permissions that are applicable to the entire Program shall\n",
      "        be treated as though they were included in this License, to the extent\n",
      "        that they are valid under applicable law.  If additional permissions\n",
      "        apply only to part of the Program, that part may be used separately\n",
      "        under those permissions, but the entire Program remains governed by\n",
      "        this License without regard to the additional permissions.\n",
      "        \n",
      "          When you convey a copy of a covered work, you may at your option\n",
      "        remove any additional permissions from that copy, or from any part of\n",
      "        it.  (Additional permissions may be written to require their own\n",
      "        removal in certain cases when you modify the work.)  You may place\n",
      "        additional permissions on material, added by you to a covered work,\n",
      "        for which you have or can give appropriate copyright permission.\n",
      "        \n",
      "          Notwithstanding any other provision of this License, for material you\n",
      "        add to a covered work, you may (if authorized by the copyright holders of\n",
      "        that material) supplement the terms of this License with terms:\n",
      "        \n",
      "            a) Disclaiming warranty or limiting liability differently from the\n",
      "            terms of sections 15 and 16 of this License; or\n",
      "        \n",
      "            b) Requiring preservation of specified reasonable legal notices or\n",
      "            author attributions in that material or in the Appropriate Legal\n",
      "            Notices displayed by works containing it; or\n",
      "        \n",
      "            c) Prohibiting misrepresentation of the origin of that material, or\n",
      "            requiring that modified versions of such material be marked in\n",
      "            reasonable ways as different from the original version; or\n",
      "        \n",
      "            d) Limiting the use for publicity purposes of names of licensors or\n",
      "            authors of the material; or\n",
      "        \n",
      "            e) Declining to grant rights under trademark law for use of some\n",
      "            trade names, trademarks, or service marks; or\n",
      "        \n",
      "            f) Requiring indemnification of licensors and authors of that\n",
      "            material by anyone who conveys the material (or modified versions of\n",
      "            it) with contractual assumptions of liability to the recipient, for\n",
      "            any liability that these contractual assumptions directly impose on\n",
      "            those licensors and authors.\n",
      "        \n",
      "          All other non-permissive additional terms are considered \"further\n",
      "        restrictions\" within the meaning of section 10.  If the Program as you\n",
      "        received it, or any part of it, contains a notice stating that it is\n",
      "        governed by this License along with a term that is a further\n",
      "        restriction, you may remove that term.  If a license document contains\n",
      "        a further restriction but permits relicensing or conveying under this\n",
      "        License, you may add to a covered work material governed by the terms\n",
      "        of that license document, provided that the further restriction does\n",
      "        not survive such relicensing or conveying.\n",
      "        \n",
      "          If you add terms to a covered work in accord with this section, you\n",
      "        must place, in the relevant source files, a statement of the\n",
      "        additional terms that apply to those files, or a notice indicating\n",
      "        where to find the applicable terms.\n",
      "        \n",
      "          Additional terms, permissive or non-permissive, may be stated in the\n",
      "        form of a separately written license, or stated as exceptions;\n",
      "        the above requirements apply either way.\n",
      "        \n",
      "          8. Termination.\n",
      "        \n",
      "          You may not propagate or modify a covered work except as expressly\n",
      "        provided under this License.  Any attempt otherwise to propagate or\n",
      "        modify it is void, and will automatically terminate your rights under\n",
      "        this License (including any patent licenses granted under the third\n",
      "        paragraph of section 11).\n",
      "        \n",
      "          However, if you cease all violation of this License, then your\n",
      "        license from a particular copyright holder is reinstated (a)\n",
      "        provisionally, unless and until the copyright holder explicitly and\n",
      "        finally terminates your license, and (b) permanently, if the copyright\n",
      "        holder fails to notify you of the violation by some reasonable means\n",
      "        prior to 60 days after the cessation.\n",
      "        \n",
      "          Moreover, your license from a particular copyright holder is\n",
      "        reinstated permanently if the copyright holder notifies you of the\n",
      "        violation by some reasonable means, this is the first time you have\n",
      "        received notice of violation of this License (for any work) from that\n",
      "        copyright holder, and you cure the violation prior to 30 days after\n",
      "        your receipt of the notice.\n",
      "        \n",
      "          Termination of your rights under this section does not terminate the\n",
      "        licenses of parties who have received copies or rights from you under\n",
      "        this License.  If your rights have been terminated and not permanently\n",
      "        reinstated, you do not qualify to receive new licenses for the same\n",
      "        material under section 10.\n",
      "        \n",
      "          9. Acceptance Not Required for Having Copies.\n",
      "        \n",
      "          You are not required to accept this License in order to receive or\n",
      "        run a copy of the Program.  Ancillary propagation of a covered work\n",
      "        occurring solely as a consequence of using peer-to-peer transmission\n",
      "        to receive a copy likewise does not require acceptance.  However,\n",
      "        nothing other than this License grants you permission to propagate or\n",
      "        modify any covered work.  These actions infringe copyright if you do\n",
      "        not accept this License.  Therefore, by modifying or propagating a\n",
      "        covered work, you indicate your acceptance of this License to do so.\n",
      "        \n",
      "          10. Automatic Licensing of Downstream Recipients.\n",
      "        \n",
      "          Each time you convey a covered work, the recipient automatically\n",
      "        receives a license from the original licensors, to run, modify and\n",
      "        propagate that work, subject to this License.  You are not responsible\n",
      "        for enforcing compliance by third parties with this License.\n",
      "        \n",
      "          An \"entity transaction\" is a transaction transferring control of an\n",
      "        organization, or substantially all assets of one, or subdividing an\n",
      "        organization, or merging organizations.  If propagation of a covered\n",
      "        work results from an entity transaction, each party to that\n",
      "        transaction who receives a copy of the work also receives whatever\n",
      "        licenses to the work the party's predecessor in interest had or could\n",
      "        give under the previous paragraph, plus a right to possession of the\n",
      "        Corresponding Source of the work from the predecessor in interest, if\n",
      "        the predecessor has it or can get it with reasonable efforts.\n",
      "        \n",
      "          You may not impose any further restrictions on the exercise of the\n",
      "        rights granted or affirmed under this License.  For example, you may\n",
      "        not impose a license fee, royalty, or other charge for exercise of\n",
      "        rights granted under this License, and you may not initiate litigation\n",
      "        (including a cross-claim or counterclaim in a lawsuit) alleging that\n",
      "        any patent claim is infringed by making, using, selling, offering for\n",
      "        sale, or importing the Program or any portion of it.\n",
      "        \n",
      "          11. Patents.\n",
      "        \n",
      "          A \"contributor\" is a copyright holder who authorizes use under this\n",
      "        License of the Program or a work on which the Program is based.  The\n",
      "        work thus licensed is called the contributor's \"contributor version\".\n",
      "        \n",
      "          A contributor's \"essential patent claims\" are all patent claims\n",
      "        owned or controlled by the contributor, whether already acquired or\n",
      "        hereafter acquired, that would be infringed by some manner, permitted\n",
      "        by this License, of making, using, or selling its contributor version,\n",
      "        but do not include claims that would be infringed only as a\n",
      "        consequence of further modification of the contributor version.  For\n",
      "        purposes of this definition, \"control\" includes the right to grant\n",
      "        patent sublicenses in a manner consistent with the requirements of\n",
      "        this License.\n",
      "        \n",
      "          Each contributor grants you a non-exclusive, worldwide, royalty-free\n",
      "        patent license under the contributor's essential patent claims, to\n",
      "        make, use, sell, offer for sale, import and otherwise run, modify and\n",
      "        propagate the contents of its contributor version.\n",
      "        \n",
      "          In the following three paragraphs, a \"patent license\" is any express\n",
      "        agreement or commitment, however denominated, not to enforce a patent\n",
      "        (such as an express permission to practice a patent or covenant not to\n",
      "        sue for patent infringement).  To \"grant\" such a patent license to a\n",
      "        party means to make such an agreement or commitment not to enforce a\n",
      "        patent against the party.\n",
      "        \n",
      "          If you convey a covered work, knowingly relying on a patent license,\n",
      "        and the Corresponding Source of the work is not available for anyone\n",
      "        to copy, free of charge and under the terms of this License, through a\n",
      "        publicly available network server or other readily accessible means,\n",
      "        then you must either (1) cause the Corresponding Source to be so\n",
      "        available, or (2) arrange to deprive yourself of the benefit of the\n",
      "        patent license for this particular work, or (3) arrange, in a manner\n",
      "        consistent with the requirements of this License, to extend the patent\n",
      "        license to downstream recipients.  \"Knowingly relying\" means you have\n",
      "        actual knowledge that, but for the patent license, your conveying the\n",
      "        covered work in a country, or your recipient's use of the covered work\n",
      "        in a country, would infringe one or more identifiable patents in that\n",
      "        country that you have reason to believe are valid.\n",
      "        \n",
      "          If, pursuant to or in connection with a single transaction or\n",
      "        arrangement, you convey, or propagate by procuring conveyance of, a\n",
      "        covered work, and grant a patent license to some of the parties\n",
      "        receiving the covered work authorizing them to use, propagate, modify\n",
      "        or convey a specific copy of the covered work, then the patent license\n",
      "        you grant is automatically extended to all recipients of the covered\n",
      "        work and works based on it.\n",
      "        \n",
      "          A patent license is \"discriminatory\" if it does not include within\n",
      "        the scope of its coverage, prohibits the exercise of, or is\n",
      "        conditioned on the non-exercise of one or more of the rights that are\n",
      "        specifically granted under this License.  You may not convey a covered\n",
      "        work if you are a party to an arrangement with a third party that is\n",
      "        in the business of distributing software, under which you make payment\n",
      "        to the third party based on the extent of your activity of conveying\n",
      "        the work, and under which the third party grants, to any of the\n",
      "        parties who would receive the covered work from you, a discriminatory\n",
      "        patent license (a) in connection with copies of the covered work\n",
      "        conveyed by you (or copies made from those copies), or (b) primarily\n",
      "        for and in connection with specific products or compilations that\n",
      "        contain the covered work, unless you entered into that arrangement,\n",
      "        or that patent license was granted, prior to 28 March 2007.\n",
      "        \n",
      "          Nothing in this License shall be construed as excluding or limiting\n",
      "        any implied license or other defenses to infringement that may\n",
      "        otherwise be available to you under applicable patent law.\n",
      "        \n",
      "          12. No Surrender of Others' Freedom.\n",
      "        \n",
      "          If conditions are imposed on you (whether by court order, agreement or\n",
      "        otherwise) that contradict the conditions of this License, they do not\n",
      "        excuse you from the conditions of this License.  If you cannot convey a\n",
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      "          17. Interpretation of Sections 15 and 16.\n",
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      "        copy of the Program in return for a fee.\n",
      "        \n",
      "                             END OF TERMS AND CONDITIONS\n",
      "        \n",
      "                    How to Apply These Terms to Your New Programs\n",
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      "          If you develop a new program, and you want it to be of the greatest\n",
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      "        state the exclusion of warranty; and each file should have at least\n",
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      "            <one line to give the program's name and a brief idea of what it does.>\n",
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      "            along with this program.  If not, see <http://www.gnu.org/licenses/>.\n",
      "        \n",
      "        Also add information on how to contact you by electronic and paper mail.\n",
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      "          If the program does terminal interaction, make it output a short\n",
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      "        Public License instead of this License.  But first, please read\n",
      "        <http://www.gnu.org/philosophy/why-not-lgpl.html>.\n",
      "        \n",
      "        Name: libquadmath\n",
      "        Files: numpy.libs\\libopenb*.dll\n",
      "        Description: statically linked to files compiled with gcc\n",
      "        Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libquadmath\n",
      "        License: LGPL-2.1-or-later\n",
      "        \n",
      "            GCC Quad-Precision Math Library\n",
      "            Copyright (C) 2010-2019 Free Software Foundation, Inc.\n",
      "            Written by Francois-Xavier Coudert  <fxcoudert@gcc.gnu.org>\n",
      "        \n",
      "            This file is part of the libquadmath library.\n",
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      "            modify it under the terms of the GNU Library General Public\n",
      "            License as published by the Free Software Foundation; either\n",
      "            version 2.1 of the License, or (at your option) any later version.\n",
      "        \n",
      "            Libquadmath is distributed in the hope that it will be useful,\n",
      "            but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
      "            MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU\n",
      "            Lesser General Public License for more details.\n",
      "            https://www.gnu.org/licenses/old-licenses/lgpl-2.1.html\n",
      "Location: c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages\n",
      "Requires: \n",
      "Required-by: contourpy, librosa, matplotlib, numba, pandas, scikit-learn, scipy, soxr\n",
      "Name: matplotlibNote: you may need to restart the kernel to use updated packages.\n",
      "\n",
      "Version: 3.8.3\n",
      "Summary: Python plotting package\n",
      "Home-page: https://matplotlib.org\n",
      "Author: John D. Hunter, Michael Droettboom\n",
      "Author-email: matplotlib-users@python.org\n",
      "License: PSF\n",
      "Location: c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages\n",
      "Requires: contourpy, cycler, fonttools, importlib-resources, kiwisolver, numpy, packaging, pillow, pyparsing, python-dateutil\n",
      "Required-by: \n",
      "Name: scipy\n",
      "Version: 1.12.0\n",
      "Summary: Fundamental algorithms for scientific computing in Python\n",
      "Home-page: https://scipy.org/\n",
      "Author: \n",
      "Author-email: \n",
      "License: Copyright (c) 2001-2002 Enthought, Inc. 2003-2024, SciPy Developers.\n",
      "        All rights reserved.\n",
      "        \n",
      "        Redistribution and use in source and binary forms, with or without\n",
      "        modification, are permitted provided that the following conditions\n",
      "        are met:\n",
      "        \n",
      "        1. Redistributions of source code must retain the above copyright\n",
      "           notice, this list of conditions and the following disclaimer.\n",
      "        \n",
      "        2. Redistributions in binary form must reproduce the above\n",
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      "        \n",
      "        3. Neither the name of the copyright holder nor the names of its\n",
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      "        \n",
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      "        SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT\n",
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      "        (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\n",
      "        OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
      "        \n",
      "        ----\n",
      "        \n",
      "        This binary distribution of SciPy also bundles the following software:\n",
      "        \n",
      "        \n",
      "        Name: OpenBLAS\n",
      "        Files: scipy.libs\\libopenblas*.dll\n",
      "        Description: bundled as a dynamically linked library\n",
      "        Availability: https://github.com/OpenMathLib/OpenBLAS/\n",
      "        License: BSD-3-Clause-Attribution\n",
      "          Copyright (c) 2011-2014, The OpenBLAS Project\n",
      "          All rights reserved.\n",
      "          \n",
      "          Redistribution and use in source and binary forms, with or without\n",
      "          modification, are permitted provided that the following conditions are\n",
      "          met:\n",
      "          \n",
      "             1. Redistributions of source code must retain the above copyright\n",
      "                notice, this list of conditions and the following disclaimer.\n",
      "          \n",
      "             2. Redistributions in binary form must reproduce the above copyright\n",
      "                notice, this list of conditions and the following disclaimer in\n",
      "                the documentation and/or other materials provided with the\n",
      "                distribution.\n",
      "             3. Neither the name of the OpenBLAS project nor the names of \n",
      "                its contributors may be used to endorse or promote products \n",
      "                derived from this software without specific prior written \n",
      "                permission.\n",
      "          \n",
      "          THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
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      "          DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\n",
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      "          USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
      "        \n",
      "        \n",
      "        Name: LAPACK\n",
      "        Files: scipy.libs\\libopenblas*.dll\n",
      "        Description: bundled in OpenBLAS\n",
      "        Availability: https://github.com/OpenMathLib/OpenBLAS/\n",
      "        License: BSD-3-Clause-Attribution\n",
      "          Copyright (c) 1992-2013 The University of Tennessee and The University\n",
      "                                  of Tennessee Research Foundation.  All rights\n",
      "                                  reserved.\n",
      "          Copyright (c) 2000-2013 The University of California Berkeley. All\n",
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      "          Copyright (c) 2006-2013 The University of Colorado Denver.  All rights\n",
      "                                  reserved.\n",
      "          \n",
      "          $COPYRIGHT$\n",
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      "          Additional copyrights may follow\n",
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      "            notice, this list of conditions and the following disclaimer.\n",
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      "          - Redistributions in binary form must reproduce the above copyright\n",
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      "            in this license in the documentation and/or other materials\n",
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      "          The copyright holders provide no reassurances that the source code\n",
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      "          \n",
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      "          OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\n",
      "          SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT\n",
      "          LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,\n",
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      "          OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
      "        \n",
      "        \n",
      "        Name: GCC runtime library\n",
      "        Files: scipy.libs\\libopenblas*.dll\n",
      "        Description: statically linked to files compiled with gcc\n",
      "        Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libgfortran\n",
      "        License: GPL-3.0-with-GCC-exception\n",
      "          Copyright (C) 2002-2017 Free Software Foundation, Inc.\n",
      "          \n",
      "          Libgfortran is free software; you can redistribute it and/or modify\n",
      "          it under the terms of the GNU General Public License as published by\n",
      "          the Free Software Foundation; either version 3, or (at your option)\n",
      "          any later version.\n",
      "          \n",
      "          Libgfortran is distributed in the hope that it will be useful,\n",
      "          but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
      "          MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
      "          GNU General Public License for more details.\n",
      "          \n",
      "          Under Section 7 of GPL version 3, you are granted additional\n",
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      "          3.1, as published by the Free Software Foundation.\n",
      "          \n",
      "          You should have received a copy of the GNU General Public License and\n",
      "          a copy of the GCC Runtime Library Exception along with this program;\n",
      "          see the files COPYING3 and COPYING.RUNTIME respectively.  If not, see\n",
      "          <http://www.gnu.org/licenses/>.\n",
      "        \n",
      "        \n",
      "        ----\n",
      "        \n",
      "        Full text of license texts referred to above follows (that they are\n",
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      "        present binary release):\n",
      "        \n",
      "        ----\n",
      "        \n",
      "        GCC RUNTIME LIBRARY EXCEPTION\n",
      "        \n",
      "        Version 3.1, 31 March 2009\n",
      "        \n",
      "        Copyright (C) 2009 Free Software Foundation, Inc. <http://fsf.org/>\n",
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      "        header files and runtime libraries covered by this Exception.\n",
      "        \n",
      "        0. Definitions.\n",
      "        \n",
      "        A file is an \"Independent Module\" if it either requires the Runtime\n",
      "        Library for execution after a Compilation Process, or makes use of an\n",
      "        interface provided by the Runtime Library, but is not otherwise based\n",
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      "        \n",
      "        \"GCC\" means a version of the GNU Compiler Collection, with or without\n",
      "        modifications, governed by version 3 (or a specified later version) of\n",
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      "        The \"Compilation Process\" transforms code entirely represented in\n",
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      "        understood as starting with the output of the generators or\n",
      "        preprocessors.\n",
      "        \n",
      "        A Compilation Process is \"Eligible\" if it is done using GCC, alone or\n",
      "        with other GPL-compatible software, or if it is done without using any\n",
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      "        all Target Code was generated by Eligible Compilation Processes. You\n",
      "        may then convey such a combination under terms of your choice,\n",
      "        consistent with the licensing of the Independent Modules.\n",
      "        \n",
      "        2. No Weakening of GCC Copyleft.\n",
      "        \n",
      "        The availability of this Exception does not imply any general\n",
      "        presumption that third-party software is unaffected by the copyleft\n",
      "        requirements of the license of GCC.\n",
      "        \n",
      "        ----\n",
      "        \n",
      "                            GNU GENERAL PUBLIC LICENSE\n",
      "                               Version 3, 29 June 2007\n",
      "        \n",
      "         Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>\n",
      "         Everyone is permitted to copy and distribute verbatim copies\n",
      "         of this license document, but changing it is not allowed.\n",
      "        \n",
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      "        can do so.  This is fundamentally incompatible with the aim of\n",
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      "        pattern of such abuse occurs in the area of products for individuals to\n",
      "        use, which is precisely where it is most unacceptable.  Therefore, we\n",
      "        have designed this version of the GPL to prohibit the practice for those\n",
      "        products.  If such problems arise substantially in other domains, we\n",
      "        stand ready to extend this provision to those domains in future versions\n",
      "        of the GPL, as needed to protect the freedom of users.\n",
      "        \n",
      "          Finally, every program is threatened constantly by software patents.\n",
      "        States should not allow patents to restrict development and use of\n",
      "        software on general-purpose computers, but in those that do, we wish to\n",
      "        avoid the special danger that patents applied to a free program could\n",
      "        make it effectively proprietary.  To prevent this, the GPL assures that\n",
      "        patents cannot be used to render the program non-free.\n",
      "        \n",
      "          The precise terms and conditions for copying, distribution and\n",
      "        modification follow.\n",
      "        \n",
      "                               TERMS AND CONDITIONS\n",
      "        \n",
      "          0. Definitions.\n",
      "        \n",
      "          \"This License\" refers to version 3 of the GNU General Public License.\n",
      "        \n",
      "          \"Copyright\" also means copyright-like laws that apply to other kinds of\n",
      "        works, such as semiconductor masks.\n",
      "        \n",
      "          \"The Program\" refers to any copyrightable work licensed under this\n",
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      "        \"recipients\" may be individuals or organizations.\n",
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      "          To \"modify\" a work means to copy from or adapt all or part of the work\n",
      "        in a fashion requiring copyright permission, other than the making of an\n",
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      "        \n",
      "          A \"covered work\" means either the unmodified Program or a work based\n",
      "        on the Program.\n",
      "        \n",
      "          To \"propagate\" a work means to do anything with it that, without\n",
      "        permission, would make you directly or secondarily liable for\n",
      "        infringement under applicable copyright law, except executing it on a\n",
      "        computer or modifying a private copy.  Propagation includes copying,\n",
      "        distribution (with or without modification), making available to the\n",
      "        public, and in some countries other activities as well.\n",
      "        \n",
      "          To \"convey\" a work means any kind of propagation that enables other\n",
      "        parties to make or receive copies.  Mere interaction with a user through\n",
      "        a computer network, with no transfer of a copy, is not conveying.\n",
      "        \n",
      "          An interactive user interface displays \"Appropriate Legal Notices\"\n",
      "        to the extent that it includes a convenient and prominently visible\n",
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      "        the interface presents a list of user commands or options, such as a\n",
      "        menu, a prominent item in the list meets this criterion.\n",
      "        \n",
      "          1. Source Code.\n",
      "        \n",
      "          The \"source code\" for a work means the preferred form of the work\n",
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      "        \"Major Component\", in this context, means a major essential component\n",
      "        (kernel, window system, and so on) of the specific operating system\n",
      "        (if any) on which the executable work runs, or a compiler used to\n",
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      "        \n",
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      "        control those activities.  However, it does not include the work's\n",
      "        System Libraries, or general-purpose tools or generally available free\n",
      "        programs which are used unmodified in performing those activities but\n",
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      "        \n",
      "          The Corresponding Source need not include anything that users\n",
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      "        \n",
      "          The Corresponding Source for a work in source code form is that\n",
      "        same work.\n",
      "        \n",
      "          2. Basic Permissions.\n",
      "        \n",
      "          All rights granted under this License are granted for the term of\n",
      "        copyright on the Program, and are irrevocable provided the stated\n",
      "        conditions are met.  This License explicitly affirms your unlimited\n",
      "        permission to run the unmodified Program.  The output from running a\n",
      "        covered work is covered by this License only if the output, given its\n",
      "        content, constitutes a covered work.  This License acknowledges your\n",
      "        rights of fair use or other equivalent, as provided by copyright law.\n",
      "        \n",
      "          You may make, run and propagate covered works that you do not\n",
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      "        in force.  You may convey covered works to others for the sole purpose\n",
      "        of having them make modifications exclusively for you, or provide you\n",
      "        with facilities for running those works, provided that you comply with\n",
      "        the terms of this License in conveying all material for which you do\n",
      "        not control copyright.  Those thus making or running the covered works\n",
      "        for you must do so exclusively on your behalf, under your direction\n",
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      "          Conveying under any other circumstances is permitted solely under\n",
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      "        \n",
      "          3. Protecting Users' Legal Rights From Anti-Circumvention Law.\n",
      "        \n",
      "          No covered work shall be deemed part of an effective technological\n",
      "        measure under any applicable law fulfilling obligations under article\n",
      "        11 of the WIPO copyright treaty adopted on 20 December 1996, or\n",
      "        similar laws prohibiting or restricting circumvention of such\n",
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      "        \n",
      "          When you convey a covered work, you waive any legal power to forbid\n",
      "        circumvention of technological measures to the extent such circumvention\n",
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      "        modification of the work as a means of enforcing, against the work's\n",
      "        users, your or third parties' legal rights to forbid circumvention of\n",
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      "        \n",
      "          4. Conveying Verbatim Copies.\n",
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      "          You may convey verbatim copies of the Program's source code as you\n",
      "        receive it, in any medium, provided that you conspicuously and\n",
      "        appropriately publish on each copy an appropriate copyright notice;\n",
      "        keep intact all notices stating that this License and any\n",
      "        non-permissive terms added in accord with section 7 apply to the code;\n",
      "        keep intact all notices of the absence of any warranty; and give all\n",
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      "        \n",
      "          You may charge any price or no price for each copy that you convey,\n",
      "        and you may offer support or warranty protection for a fee.\n",
      "        \n",
      "          5. Conveying Modified Source Versions.\n",
      "        \n",
      "          You may convey a work based on the Program, or the modifications to\n",
      "        produce it from the Program, in the form of source code under the\n",
      "        terms of section 4, provided that you also meet all of these conditions:\n",
      "        \n",
      "            a) The work must carry prominent notices stating that you modified\n",
      "            it, and giving a relevant date.\n",
      "        \n",
      "            b) The work must carry prominent notices stating that it is\n",
      "            released under this License and any conditions added under section\n",
      "            7.  This requirement modifies the requirement in section 4 to\n",
      "            \"keep intact all notices\".\n",
      "        \n",
      "            c) You must license the entire work, as a whole, under this\n",
      "            License to anyone who comes into possession of a copy.  This\n",
      "            License will therefore apply, along with any applicable section 7\n",
      "            additional terms, to the whole of the work, and all its parts,\n",
      "            regardless of how they are packaged.  This License gives no\n",
      "            permission to license the work in any other way, but it does not\n",
      "            invalidate such permission if you have separately received it.\n",
      "        \n",
      "            d) If the work has interactive user interfaces, each must display\n",
      "            Appropriate Legal Notices; however, if the Program has interactive\n",
      "            interfaces that do not display Appropriate Legal Notices, your\n",
      "            work need not make them do so.\n",
      "        \n",
      "          A compilation of a covered work with other separate and independent\n",
      "        works, which are not by their nature extensions of the covered work,\n",
      "        and which are not combined with it such as to form a larger program,\n",
      "        in or on a volume of a storage or distribution medium, is called an\n",
      "        \"aggregate\" if the compilation and its resulting copyright are not\n",
      "        used to limit the access or legal rights of the compilation's users\n",
      "        beyond what the individual works permit.  Inclusion of a covered work\n",
      "        in an aggregate does not cause this License to apply to the other\n",
      "        parts of the aggregate.\n",
      "        \n",
      "          6. Conveying Non-Source Forms.\n",
      "        \n",
      "          You may convey a covered work in object code form under the terms\n",
      "        of sections 4 and 5, provided that you also convey the\n",
      "        machine-readable Corresponding Source under the terms of this License,\n",
      "        in one of these ways:\n",
      "        \n",
      "            a) Convey the object code in, or embodied in, a physical product\n",
      "            (including a physical distribution medium), accompanied by the\n",
      "            Corresponding Source fixed on a durable physical medium\n",
      "            customarily used for software interchange.\n",
      "        \n",
      "            b) Convey the object code in, or embodied in, a physical product\n",
      "            (including a physical distribution medium), accompanied by a\n",
      "            written offer, valid for at least three years and valid for as\n",
      "            long as you offer spare parts or customer support for that product\n",
      "            model, to give anyone who possesses the object code either (1) a\n",
      "            copy of the Corresponding Source for all the software in the\n",
      "            product that is covered by this License, on a durable physical\n",
      "            medium customarily used for software interchange, for a price no\n",
      "            more than your reasonable cost of physically performing this\n",
      "            conveying of source, or (2) access to copy the\n",
      "            Corresponding Source from a network server at no charge.\n",
      "        \n",
      "            c) Convey individual copies of the object code with a copy of the\n",
      "            written offer to provide the Corresponding Source.  This\n",
      "            alternative is allowed only occasionally and noncommercially, and\n",
      "            only if you received the object code with such an offer, in accord\n",
      "            with subsection 6b.\n",
      "        \n",
      "            d) Convey the object code by offering access from a designated\n",
      "            place (gratis or for a charge), and offer equivalent access to the\n",
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      "            copy the object code is a network server, the Corresponding Source\n",
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      "            Corresponding Source.  Regardless of what server hosts the\n",
      "            Corresponding Source, you remain obligated to ensure that it is\n",
      "            available for as long as needed to satisfy these requirements.\n",
      "        \n",
      "            e) Convey the object code using peer-to-peer transmission, provided\n",
      "            you inform other peers where the object code and Corresponding\n",
      "            Source of the work are being offered to the general public at no\n",
      "            charge under subsection 6d.\n",
      "        \n",
      "          A separable portion of the object code, whose source code is excluded\n",
      "        from the Corresponding Source as a System Library, need not be\n",
      "        included in conveying the object code work.\n",
      "        \n",
      "          A \"User Product\" is either (1) a \"consumer product\", which means any\n",
      "        tangible personal property which is normally used for personal, family,\n",
      "        or household purposes, or (2) anything designed or sold for incorporation\n",
      "        into a dwelling.  In determining whether a product is a consumer product,\n",
      "        doubtful cases shall be resolved in favor of coverage.  For a particular\n",
      "        product received by a particular user, \"normally used\" refers to a\n",
      "        typical or common use of that class of product, regardless of the status\n",
      "        of the particular user or of the way in which the particular user\n",
      "        actually uses, or expects or is expected to use, the product.  A product\n",
      "        is a consumer product regardless of whether the product has substantial\n",
      "        commercial, industrial or non-consumer uses, unless such uses represent\n",
      "        the only significant mode of use of the product.\n",
      "        \n",
      "          \"Installation Information\" for a User Product means any methods,\n",
      "        procedures, authorization keys, or other information required to install\n",
      "        and execute modified versions of a covered work in that User Product from\n",
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      "        suffice to ensure that the continued functioning of the modified object\n",
      "        code is in no case prevented or interfered with solely because\n",
      "        modification has been made.\n",
      "        \n",
      "          If you convey an object code work under this section in, or with, or\n",
      "        specifically for use in, a User Product, and the conveying occurs as\n",
      "        part of a transaction in which the right of possession and use of the\n",
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      "        Corresponding Source conveyed under this section must be accompanied\n",
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      "        if neither you nor any third party retains the ability to install\n",
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      "        requirement to continue to provide support service, warranty, or updates\n",
      "        for a work that has been modified or installed by the recipient, or for\n",
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      "        network may be denied when the modification itself materially and\n",
      "        adversely affects the operation of the network or violates the rules and\n",
      "        protocols for communication across the network.\n",
      "        \n",
      "          Corresponding Source conveyed, and Installation Information provided,\n",
      "        in accord with this section must be in a format that is publicly\n",
      "        documented (and with an implementation available to the public in\n",
      "        source code form), and must require no special password or key for\n",
      "        unpacking, reading or copying.\n",
      "        \n",
      "          7. Additional Terms.\n",
      "        \n",
      "          \"Additional permissions\" are terms that supplement the terms of this\n",
      "        License by making exceptions from one or more of its conditions.\n",
      "        Additional permissions that are applicable to the entire Program shall\n",
      "        be treated as though they were included in this License, to the extent\n",
      "        that they are valid under applicable law.  If additional permissions\n",
      "        apply only to part of the Program, that part may be used separately\n",
      "        under those permissions, but the entire Program remains governed by\n",
      "        this License without regard to the additional permissions.\n",
      "        \n",
      "          When you convey a copy of a covered work, you may at your option\n",
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      "        additional permissions on material, added by you to a covered work,\n",
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      "        \n",
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      "        \n",
      "          8. Termination.\n",
      "        \n",
      "          You may not propagate or modify a covered work except as expressly\n",
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      "        \n",
      "          9. Acceptance Not Required for Having Copies.\n",
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      "          You are not required to accept this License in order to receive or\n",
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      "        occurring solely as a consequence of using peer-to-peer transmission\n",
      "        to receive a copy likewise does not require acceptance.  However,\n",
      "        nothing other than this License grants you permission to propagate or\n",
      "        modify any covered work.  These actions infringe copyright if you do\n",
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      "        \n",
      "          10. Automatic Licensing of Downstream Recipients.\n",
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      "          Each time you convey a covered work, the recipient automatically\n",
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      "        propagate that work, subject to this License.  You are not responsible\n",
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      "        \n",
      "          An \"entity transaction\" is a transaction transferring control of an\n",
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      "        any patent claim is infringed by making, using, selling, offering for\n",
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      "        \n",
      "          11. Patents.\n",
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      "          A \"contributor\" is a copyright holder who authorizes use under this\n",
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      "        work thus licensed is called the contributor's \"contributor version\".\n",
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      "          A contributor's \"essential patent claims\" are all patent claims\n",
      "        owned or controlled by the contributor, whether already acquired or\n",
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      "        by this License, of making, using, or selling its contributor version,\n",
      "        but do not include claims that would be infringed only as a\n",
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      "        purposes of this definition, \"control\" includes the right to grant\n",
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      "        patent license under the contributor's essential patent claims, to\n",
      "        make, use, sell, offer for sale, import and otherwise run, modify and\n",
      "        propagate the contents of its contributor version.\n",
      "        \n",
      "          In the following three paragraphs, a \"patent license\" is any express\n",
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      "          If you convey a covered work, knowingly relying on a patent license,\n",
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      "        to copy, free of charge and under the terms of this License, through a\n",
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      "        then you must either (1) cause the Corresponding Source to be so\n",
      "        available, or (2) arrange to deprive yourself of the benefit of the\n",
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      "        \n",
      "        \n",
      "        Name: libquadmath\n",
      "        Files: scipy.libs\\libopenblas*.dll\n",
      "        Description: statically linked to files compiled with gcc\n",
      "        Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libquadmath\n",
      "        License: LGPL-2.1-or-later\n",
      "        \n",
      "            GCC Quad-Precision Math Library\n",
      "            Copyright (C) 2010-2019 Free Software Foundation, Inc.\n",
      "            Written by Francois-Xavier Coudert  <fxcoudert@gcc.gnu.org>\n",
      "        \n",
      "            This file is part of the libquadmath library.\n",
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      "            modify it under the terms of the GNU Library General Public\n",
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      "            version 2.1 of the License, or (at your option) any later version.\n",
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      "            but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
      "            MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU\n",
      "            Lesser General Public License for more details.\n",
      "            https://www.gnu.org/licenses/old-licenses/lgpl-2.1.html\n",
      "Location: c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages\n",
      "Requires: numpy\n",
      "Required-by: librosa, scikit-learn\n",
      "Note: you may need to restart the kernel to use updated packages.\n",
      "Name: pandas\n",
      "Version: 2.2.1\n",
      "Summary: Powerful data structures for data analysis, time series, and statistics\n",
      "Home-page: https://pandas.pydata.org\n",
      "Author: \n",
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      "License: BSD 3-Clause License\n",
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      "          list of conditions and the following disclaimer.\n",
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      "        DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\n",
      "        FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\n",
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      "        OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
      "Location: c:\\users\\zzr\\anaconda3\\envs\\sound-exp1\\lib\\site-packages\n",
      "Requires: numpy, python-dateutil, pytz, tzdata\n",
      "Required-by: \n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip show numpy\n",
    "%pip show matplotlib\n",
    "%pip show scipy\n",
    "%pip show pandas\n",
    "%pip show pyaudio\n",
    "%pip show wave\n",
    "%pip show librosa\n",
    "%pip show IPython\n",
    "# 如果显示WARNING: Package(s) not found,则需要安装对应依赖库"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们鼓励大家使用自己录制的音频进行实验，下面是录制音频的简单示例，可根据自己设备的情况，对录制时长和采样率进行调整"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#录制音频\n",
    "def record_audio(duration):\n",
    "    import pyaudio\n",
    "    import wave\n",
    "\n",
    "    CHUNK = 1024\n",
    "    FORMAT = pyaudio.paInt16\n",
    "    CHANNELS = 1\n",
    "    RATE = 44100\n",
    "    WAVE_OUTPUT_FILENAME = \"demo.wav\"\n",
    "\n",
    "    p = pyaudio.PyAudio()\n",
    "\n",
    "    stream = p.open(format=FORMAT,\n",
    "                    channels=CHANNELS,\n",
    "                    rate=RATE,\n",
    "                    input=True,\n",
    "                    frames_per_buffer=CHUNK)\n",
    "\n",
    "    print(\"* 录音中...\")\n",
    "\n",
    "    frames = []\n",
    "\n",
    "    for i in range(0, int(RATE / CHUNK * duration)):\n",
    "        data = stream.read(CHUNK)\n",
    "        frames.append(data)\n",
    "\n",
    "    print(\"* 录音结束!\")\n",
    "\n",
    "    stream.stop_stream()\n",
    "    stream.close()\n",
    "    p.terminate()\n",
    "\n",
    "    wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')\n",
    "    wf.setnchannels(CHANNELS)\n",
    "    wf.setsampwidth(p.get_sample_size(FORMAT))\n",
    "    wf.setframerate(RATE)\n",
    "    wf.writeframes(b''.join(frames))\n",
    "    wf.close()\n",
    "    \n",
    "record_audio(duration=5) #录音5秒,并保存为demo.wav\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source 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\" type=\"audio/x-wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import IPython\n",
    "IPython.display.Audio('demo.wav') #播放demo.wav"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "采样率： 8000\n",
      "信号长度： (32000,)\n"
     ]
    }
   ],
   "source": [
    "#读取音频\n",
    "import numpy as np\n",
    "import scipy.io.wavfile as wav\n",
    "sr, signal = wav.read('demo.wav')\n",
    "print('采样率：', sr)\n",
    "print(\"信号长度：\", signal.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 下面是一些会用到的音频处理函数\n",
    "from speechlib import *\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "实验1-1：基于双门限法的端点检测\n",
    "需要补充下列方法: STEn、STZcr、vad_TwoThr\n",
    "\n",
    "所有需要补充的代码都注释有TODO, 按要求补充即可"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def STEn(x: object, win: object, inc: object) -> object:\n",
    "    \"\"\"\n",
    "    计算短时能量函数\n",
    "    :param x: 语音信号\n",
    "    :param win: 窗长\n",
    "    :param inc: 帧移\n",
    "    :return: 短时能量，即每一帧的能量\n",
    "    \"\"\"\n",
    "    # TODO 需要补充\n",
    "    # 1.分帧\n",
    "    # 2.计算短时能量\n",
    "    # 3.返回短时能量\n",
    "\n",
    "def STZcr(x, win, inc, delta=0):\n",
    "    \"\"\"\n",
    "    计算短时过零率\n",
    "    :param x: 语音信号\n",
    "    :param win: 窗长\n",
    "    :param inc: 帧移\n",
    "    :return: 短时过零率，即每一帧的过零率\n",
    "    \"\"\"\n",
    "    # TODO 需要补充\n",
    "    # 1.分帧\n",
    "    # 2.计算短时过零率\n",
    "    # 3.返回短时过零率\n",
    "\n",
    "def vad_TwoThr(x, wlen, inc, NIS):\n",
    "    \"\"\"\n",
    "    使用门限法进行端点检测\n",
    "    :param x: 语音信号\n",
    "    :param wlen: 分帧长度\n",
    "    :param inc: 帧移\n",
    "    :param NIS: 用于计算门限的无话段长度\n",
    "    :return: 语音段的起始点和终止点，语音段数，语音段标记，非语音段标记，短时能量，短时过零率\n",
    "    \"\"\"\n",
    "    maxsilence = 15\n",
    "    minlen = 5\n",
    "    status = 0\n",
    "    y = # TODO 需要补充：调用enframe方法进行分帧\n",
    "    fn = y.shape[0] # 帧数\n",
    "    amp = STEn(x, wlen, inc) # 计算短时能量, 需要在上方方法定义里补充\n",
    "    zcr = STZcr(x, wlen, inc, delta=0.01) # 计算短时过零率, 需要在上方方法定义里补充\n",
    "    ampth = np.mean(amp[:NIS]) # 计算短时能量的平均值\n",
    "    zcrth = np.mean(zcr[:NIS]) # 计算短时过零率的平均值\n",
    "    amp2 = 2 * ampth\n",
    "    amp1 = 4 * ampth\n",
    "    zcr2 = 2 * zcrth\n",
    "    xn = 0\n",
    "    count = np.zeros(fn)\n",
    "    silence = np.zeros(fn)\n",
    "    x1 = np.zeros(fn)\n",
    "    x2 = np.zeros(fn)\n",
    "    for n in range(fn):\n",
    "    # 0-静音，1-可能开始，2-确定开始，3-语音段\n",
    "    \n",
    "        if status == 0 or status == 1:\n",
    "            if amp[n] > amp1: # 语音段的起始点\n",
    "                x1[xn] = # TODO 需要补充\n",
    "                status = 2\n",
    "                silence[xn] = 0\n",
    "                count[xn] += 1\n",
    "            elif amp[n] > amp2 or zcr[n] > zcr2: # 可能开始\n",
    "                status = 1\n",
    "                count[xn] += 1\n",
    "            else: # 静音\n",
    "                status = 0\n",
    "                count[xn] = 0\n",
    "                x1[xn] = 0\n",
    "                x2[xn] = 0\n",
    "\n",
    "        elif status == 2:\n",
    "            if # TODO 需要补充\n",
    "                count[xn] += 1\n",
    "            else:\n",
    "                silence[xn] += 1\n",
    "                if silence[xn] < maxsilence:\n",
    "                    count[xn] += 1\n",
    "                elif count[xn] < minlen:\n",
    "                    status = 0\n",
    "                    silence[xn] = 0\n",
    "                    count[xn] = 0\n",
    "                else:\n",
    "                    status = 3\n",
    "                    x2[xn] = x1[xn] + count[xn]\n",
    "        elif status == 3:\n",
    "            status = 0\n",
    "            xn += 1\n",
    "            count[xn] = 0\n",
    "            silence[xn] = 0\n",
    "            x1[xn] = 0\n",
    "            x2[xn] = 0\n",
    "    el = len(x1[:xn])\n",
    "    if x1[el - 1] == 0:\n",
    "        el -= 1\n",
    "    if x2[el - 1] == 0:\n",
    "        print('Error: Not find endding point!\\n')\n",
    "        x2[el] = fn\n",
    "    SF = np.zeros(fn)\n",
    "    NF = np.ones(fn)\n",
    "    for i in range(el):\n",
    "        SF[int(x1[i]):int(x2[i])] = 1 # 语音段标记\n",
    "        NF[int(x1[i]):int(x2[i])] = 0 # 非语音段标记\n",
    "    voiceseg = findSegment(np.where(SF == 1)[0]) # 找到语音段\n",
    "    vsl = len(voiceseg.keys())\n",
    "    return voiceseg, vsl, SF, NF, amp, zcr # 返回语音段的起始点和终止点，语音段数，语音段标记，非语音段标记，短时能量，短时过零率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(fs, data) = wavfile.read('demo.wav') # 读取音频\n",
    "data1 = data/np.max(np.abs(data))     # 幅值归一化\n",
    "\n",
    "N = len(data1)\n",
    "wlen = 200\n",
    "inc = 80\n",
    "IS = 0.1\n",
    "overlap = wlen - inc\n",
    "NIS = int((IS * fs - wlen) // inc + 1)\n",
    "fn = (N - wlen) // inc + 1\n",
    "\n",
    "frameTime = FrameTimeC(fn, wlen, inc, fs) # 计算每帧的时间刻度\n",
    "time = [i / fs for i in range(N)]\n",
    "\n",
    "voiceseg, vsl, SF, NF, amp, zcr = vad_TwoThr(data1, wlen, inc, NIS) # 语音段检测\n",
    "\n",
    "# 打印语音段信息\n",
    "fig, axs = plt.subplots(3, 1, figsize=(10, 8))  # Adjust figsize as needed 调整子图大小\n",
    "plt.subplots_adjust(hspace=0.5)  # Adjust hspace for vertical spacing between subplots 调整子图间的垂直间距\n",
    "\n",
    "axs[0].plot(time, data1)\n",
    "axs[0].set_title('Endpoint detection using double threshold method')\n",
    "axs[0].set_ylabel('Amplitude')\n",
    "axs[0].set_xlabel('Time/s')\n",
    "\n",
    "axs[1].plot(frameTime, amp)\n",
    "axs[1].set_title('Short-time energy')\n",
    "axs[1].set_ylabel('Amplitude')\n",
    "axs[1].set_xlabel('Time/s')\n",
    "\n",
    "axs[2].plot(frameTime, zcr)\n",
    "axs[2].set_title('Short-time zero crossing rate')\n",
    "axs[2].set_ylabel('Amplitude')\n",
    "axs[2].set_xlabel('Time/s')\n",
    "\n",
    "# 画出语音段的起始和终止点\n",
    "for i in range(vsl):\n",
    "    nx1 = voiceseg[i]['start']\n",
    "    nx2 = voiceseg[i]['end']\n",
    "\n",
    "    axs[0].axvline(frameTime[nx1], np.min(data1), np.max(data1), color='blue', linestyle='--')\n",
    "    axs[0].axvline(frameTime[nx2], np.min(data1), np.max(data1), color='red', linestyle='-')\n",
    "    axs[0].legend(['Waveform', 'Start', 'End'])\n",
    "\n",
    "    axs[1].axvline(frameTime[nx1], np.min(amp), np.max(amp), color='blue', linestyle='--')\n",
    "    axs[1].axvline(frameTime[nx2], np.min(amp), np.max(amp), color='red', linestyle='-')\n",
    "    axs[1].legend(['Short-time energy', 'Start', 'End'])\n",
    "    \n",
    "    axs[2].axvline(frameTime[nx1], 0, 1, color='blue', linestyle='--')\n",
    "    axs[2].axvline(frameTime[nx2], 0, 1, color='red', linestyle='-')\n",
    "    axs[2].legend(['Short-time zero crossing rate', 'Start', 'End'], loc='upper right')\n",
    "\n",
    "os.makedirs('figs', exist_ok=True) # 创建文件夹\n",
    "plt.savefig('figs/vad.png') # 保存图片\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "实验1-2：基于自相关法的基音周期检测\n",
    "需要补充下列方法: pitch_Corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pitch_Corr(x, wnd, inc, T1, fs, miniL=10):\n",
    "    \"\"\"\n",
    "    自相关法基音周期检测函数\n",
    "    :param x: 语音信号\n",
    "    :param wnd: 窗函数或窗长\n",
    "    :param inc: 帧移\n",
    "    :param T1: 门限\n",
    "    :param fs: 采样率\n",
    "    :param miniL: 语音段的最小帧数\n",
    "    :return voiceseg, vsl, SF, Ef, period: 语音段的起始点和终止点，语音段数，语音段标记，非语音段标记，基音周期\n",
    "    \"\"\"\n",
    "    y = # TODO 需要补充：调用enframe方法进行分帧\n",
    "    fn = y.shape[0]\n",
    "    if isinstance(wnd, int):\n",
    "        wlen = wnd\n",
    "    else:\n",
    "        wlen = len(wnd)\n",
    "    voiceseg, vsl, SF, Ef = pitch_vad(x, wnd, inc, T1, miniL)  # 语音分段\n",
    "    lmin = fs // 500  # 基音周期的最小值\n",
    "    lmax = fs // 60  # 基音周期的最大值\n",
    "    period = np.zeros(fn)\n",
    "    for i in range(vsl):    # 在所有语音段中\n",
    "        ixb = voiceseg[i]['start'] # 语音段的起始帧\n",
    "        ixd = voiceseg[i]['duration'] # 语音段的帧数\n",
    "        for k in range(ixd):\n",
    "            # TODO 需要补充：输入y, 调用np.correlate计算短时自相关,并找到最大值,返回自相关函数ru\n",
    "            # TODO 需要补充：输入ru找到范围内短时自相关最大值的标号,将其作为基音周期的估值,并存入period\n",
    "    return voiceseg, vsl, SF, Ef, period"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from scipy.io import wavfile\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 读取WAV文件\n",
    "(fs, data) = wavfile.read('demo.wav')\n",
    "\n",
    "# 去除直流偏移\n",
    "data = data - np.mean(data)\n",
    "\n",
    "# 幅值归一化\n",
    "data = data / np.max(data)\n",
    "\n",
    "# 分析参数\n",
    "wlen = 320  # 分析窗口长度\n",
    "inc = 80    # 连续窗口间隔\n",
    "N = len(data)\n",
    "time = [i / fs for i in range(N)]  # 时间向量\n",
    "T1 = 0.05  # 用于基音校正的阈值\n",
    "\n",
    "# 进行基音校正并检测有声段\n",
    "voiceseg, vsl, SF, Ef, period = pitch_Corr(data, wlen, inc, T1, fs)\n",
    "\n",
    "# 计算帧数\n",
    "fn = len(SF)\n",
    "\n",
    "# 计算帧时间位置\n",
    "frameTime = FrameTimeC(fn, wlen, inc, fs)\n",
    "\n",
    "# 设置子图布局\n",
    "fig, axs = plt.subplots(2, 1, figsize=(10, 8))\n",
    "plt.subplots_adjust(hspace=0.5)  # 调整垂直间距\n",
    "\n",
    "# 绘制波形图\n",
    "axs[0].plot(time, data)\n",
    "axs[0].set_title('Waveform of speech')\n",
    "axs[0].set_ylabel('Amplitude')\n",
    "axs[0].set_xlabel('Time/s')\n",
    "\n",
    "# 绘制自相关基音周期检测图\n",
    "axs[1].plot(frameTime, period)\n",
    "axs[1].set_title('Pitch Detection by Autocorrelation')\n",
    "axs[1].set_ylabel('Period')\n",
    "axs[1].set_xlabel('Time/s')\n",
    "\n",
    "# 标记有声段\n",
    "for i in range(vsl):\n",
    "    nx1 = voiceseg[i]['start']\n",
    "    nx2 = voiceseg[i]['end']\n",
    "\n",
    "    # 在波形图上标记有声段\n",
    "    axs[0].axvline(frameTime[nx1], np.min(data), np.max(data), color='blue', linestyle='--')\n",
    "    axs[0].axvline(frameTime[nx2], np.min(data), np.max(data), color='red', linestyle='-')\n",
    "\n",
    "    # 在自相关基音周期检测图上标记有声段\n",
    "    axs[1].axvline(frameTime[nx1], np.min(period), np.max(period), color='blue', linestyle='--')\n",
    "    axs[1].axvline(frameTime[nx2], np.min(period), np.max(period), color='red', linestyle='-')\n",
    "\n",
    "axs[0].legend(['Waveform', 'Start', 'End'])\n",
    "axs[1].legend(['Pitch', 'Start', 'End'])\n",
    "\n",
    "os.makedirs('figs', exist_ok=True) # 创建文件夹\n",
    "plt.savefig('figs/pitch.png') # 保存图片\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "实验1-3：MFCC提取\n",
    "需要补充下列方法: Nmfcc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Nmfcc(x, fs, p, frameSize, inc, nfft=512, n_dct=12):\n",
    "    \"\"\"\n",
    "    计算mfcc系数\n",
    "    :param x: 输入信号\n",
    "    :param fs: 采样率\n",
    "    :param p: Mel滤波器组的个数\n",
    "    :param frameSize: 分帧的每帧长度\n",
    "    :param inc: 帧移\n",
    "    :return: mfcc系数\n",
    "    \"\"\"\n",
    "    # 预加重处理\n",
    "    x_preemphasized = lfilter([1, -0.9375], [1],x) # TODO 需要补充：输入x, 调用lfilter方法进行预加重\n",
    " \n",
    "    # 分帧\n",
    "    frames = enframe(x_preemphasized,np.hanning(frameSize), inc) # TODO 需要补充：输入frames, 调用enframe方法进行分帧\n",
    "\n",
    "    # 加窗\n",
    "    frames = np.multiply(frames,np.hanning(frameSize))# TODO 需要补充：输入frames, 调用np.hanning和np.multiply方法进行加窗\n",
    "\n",
    "    # 计算FFT\n",
    "    fft_result = np.fft.rfft(frames) # TODO 需要补充：输入frames, 调用np.fft.rfft方法进行FFT\n",
    "\n",
    "    # 计算能量谱\n",
    "    power_spectrum = np.abs(fft_result) ** 2\n",
    "    \n",
    "    # 计算通过Mel滤波器的能量\n",
    "    bank = melbankm(p, nfft, fs, 0, 0.5 * fs, 0)\n",
    "    ss = np.matmul(power_spectrum, bank.T)\n",
    "    \n",
    "    # 计算DCT倒谱\n",
    "    M = bank.shape[0] # 滤波器个数\n",
    "    m = np.array([i for i in range(M)])\n",
    "    mfcc = np.zeros((ss.shape[0], n_dct)) # 初始化mfcc系数\n",
    "    for n in range(n_dct):\n",
    "        mfcc[:, n] = np.sqrt(2 / M) * np.sum(np.multiply(np.log(ss), np.cos((2 * m - 1) * n * np.pi / 2 / M)), axis=1)  # TODO 需要补充：输入M,m,ss, 调用np计算mfcc系数\n",
    "    return mfcc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import librosa\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.io import wavfile\n",
    "import numpy as np\n",
    "\n",
    "# 读取WAV文件\n",
    "(framerate, wave_data) = wavfile.read(\"demo.wav\")\n",
    "\n",
    "# 参数设置\n",
    "wlen = 256\n",
    "inc = 128\n",
    "num = 8\n",
    "nfft = 256\n",
    "n_dct = 24\n",
    "\n",
    "# 归一化处理\n",
    "x = wave_data / max(np.abs(wave_data))\n",
    "time = np.arange(0, len(wave_data)) / framerate\n",
    "\n",
    "# 绘制原始波形\n",
    "plt.figure(1)\n",
    "plt.subplot(411)\n",
    "plt.plot(time, x, 'b')\n",
    "plt.title(\"(a) Waveform\")\n",
    "plt.ylabel(\"Amplitude\")\n",
    "plt.xlabel(\"Time/s\")\n",
    "\n",
    "# 计算MFCC特征\n",
    "ccc1 = librosa.feature.mfcc(y=x,\n",
    "                            n_fft=wlen,\n",
    "                            sr=framerate,\n",
    "                            n_mfcc=24,\n",
    "                            fmax=4000,\n",
    "                            dct_type=2,\n",
    "                            hop_length=inc,\n",
    "                            win_length=wlen)\n",
    "ccc2 = np.transpose(ccc1)\n",
    "\n",
    "# 进行NMFCC计算\n",
    "ccc1 = Nmfcc(x, framerate, num, wlen, inc, nfft, n_dct)\n",
    "fn = ccc1.shape[0]\n",
    "cn = ccc1.shape[1]\n",
    "frameTime = FrameTimeC(fn, wlen, inc, framerate)\n",
    "\n",
    "# # 计算语谱图\n",
    "D = librosa.stft(x, n_fft=wlen, hop_length=inc)\n",
    "D_db = librosa.amplitude_to_db(np.abs(D), ref=np.max)\n",
    "# 绘制语谱图\n",
    "plt.subplot(412)\n",
    "librosa.display.specshow(D_db, sr=framerate, hop_length=inc, x_axis='time', y_axis='linear')\n",
    "plt.title(\"(b) Spectrogram\")\n",
    "plt.colorbar(format='%+2.0f dB')\n",
    "\n",
    "# 绘制MFCC系数\n",
    "plt.subplot(413)\n",
    "plt.plot(frameTime, ccc1[:, 0:int(cn/2)])\n",
    "plt.title(\"(c) MFCC Coefficients\")\n",
    "plt.ylabel(\"Amplitude\")\n",
    "plt.xlabel(\"Time/s\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# 绘制MFCC特征图\n",
    "plt.subplot(414)\n",
    "plt.imshow(ccc1, cmap='hot', interpolation='nearest', aspect='auto')\n",
    "plt.xlabel('Frame')\n",
    "plt.ylabel('MFCC Coefficient')\n",
    "plt.title('(d) MFCC Features')\n",
    "plt.colorbar(label='Magnitude')\n",
    "\n",
    "# 调整子图间距\n",
    "plt.subplots_adjust(hspace=2)\n",
    "\n",
    "os.makedirs('figs', exist_ok=True) # 创建文件夹\n",
    "plt.savefig('figs/mfcc.png') # 保存图片\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
